wirehack

No this is pure coincidence lol.

We build our MCP servers ourselves and many of them are open source. You can check out our github repo.

Their findings on KV-cache invalidation are spot on for a single-context approach.

Strata's architecture is philosophically different. Instead of loading a large toolset and masking it, we guide the LLM through a multi-step dialogue. Each step (e.g., choosing an app, then a category) is a separate, very small, and cheap LLM call.

So, we trade one massive prompt for a few tiny ones. This avoids the KV-cache issue because the context for each decision is minimal, and it prevents model confusion because the agent only ever sees the tools relevant to its current step. It's a different path to the same goal: making the agent smarter by not overwhelming it. Thanks for the great link!

Thank you! I did not know this trick! I am fixing this now.

1. Yes I agree. To be honest we are a young company (as you can tell we are from YC X25), so we are still figuring out the pricing. But thank you for the feedback and sharing your thoughts.

2. Yes the idea is not complex once you understand it. But there are some nuances we found along the way and supporting more integrations are always important but requires engineering efforts. Thank you!

We do not build the MCP clients, but for many of the clients I believe it is hard-coded into the deterministic client code.

Thank you!

Yeah I see what you mean. Many MCP clients has the ability to ask human for confirmation before a tool call is executed. In this way, you can check the tool call before it executes.

1. Sure, we will clarify that in the pricing page, thank you! As you can see from our evaluation, we are much better than official MCP servers. I think people care more about getting things done correctly. Otherwise, you waste all the model tokens for nothing. We do have enterprise deals where we can work out a customized pricing plan for your specific use case. Come talk to us if you are interested.

2. One VERY important distinction is that the model is doing the "search" here, not some RAG algorithm or vector database. Therefore, as the model becomes smarter, this approach will be more accurate as well.

We also provide an open-source version for Strata so that you can have full control. You can self-host it on your own infrastructure, so your credentials never have to touch our servers.